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Google Coral

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Der Google Coral USB Accelerator bringt Real-Time Inferenz für Ihren Pi 4 und viele andere Computer. Google hat mit dem Coral USB Accelerator einen leistungsfähigen Spezialchip (TPU, Tensor Processing Unit) an ein USB 3 Interface angebunden - damit können Tensor Flow Lite Modelle schnell und energiesparend für Inferenz genutzt werden.
Article no.: RPI-AIY-CO
75.53€
incl. tax plus shipping costs
Available immediately
85 piece
· 2 - 4 working days
Das Coral Environmental Sensor Board ist eine Zusatzplatine, die Ihre Coral Dev Board- oder Raspberry Pi-Projekte um Messfunktionen erweitert. Es liefert Daten wie Lichtpegel, Druck, Temperatur und Feuchtigkeit für IoT-Anwendungen.
Article no.: GCO-SENS
19.66€
incl. tax plus shipping costs
Available immediately
25 piece
· 2 - 4 working days
Mit diesem universalen Hutschienenhalter kann fast jedes Entwicklerboard oder eine 2,5" Festplatte / SSDs problemlos auf einer Hutschiene montiert werden.
Article no.: DUV1-GR
13.92€
incl. tax plus shipping costs
Available immediately
11 piece
· 2 - 4 working days
Das Coral Development Board powered by Google ist ein Einplatinencomputer, der für schnelle On-Board-Anwendungen für maschinelles Lernen (ML) und das Design von Embedded-Systemen entwickelt wurde. Es verfügt über ein herausnehmbares System-on-Module (SOM) mit dem Edge TPU-Coprozessor.
Article no.: GCO-DEV-1GB
Ein 5-Megapixel-Kameramodul, das mit Coral-Prototyping-Boards kompatibel ist. Es wird über die MIPI-CSI-Schnittstelle angeschlossen und bietet eine einfache Möglichkeit, visuellen Input in Ihre Projekte zu bringen.
Article no.: GCO-CAM-1
Das Coral Development Board powered by Google ist ein Einplatinencomputer, der für schnelle On-Board-Anwendungen für maschinelles Lernen (ML) und das Design von Embedded-Systemen entwickelt wurde. Es verfügt über ein herausnehmbares System-on-Module (SOM) mit dem Edge TPU-Coprozessor.
Article no.: GCO-DEV-4GB
Das Coral Dev Board Mini ist ein Einplatinencomputer, der schnelles maschinelles Lernen (ML) in einem kleinen Formfaktor bietet. Es ist in erster Linie als Evaluierungsgerät für das Accelerator Module (ein oberflächenmontiertes Modul, das die Edge TPU bereitstellt) konzipiert, aber es ist auch ein voll funktionsfähiges Embedded-System, das Sie für verschiedene ML-Projekte auf dem Gerät verwenden können.
Article no.: GCO-DEV-MINI

Google Coral - AI technology for your projects

Coral the powerful hardware and software platforms from Google. With Google Coral, you can quickly and easily integrate artificial intelligence into your projects. From the Edge TPU acceleration card to the Coral Dev. Board, we have everything you need to get your projects up and running with the latest AI technology. Discover the possibilities Google Coral offers you.

What is Google Coral?

Google Coral is a hardware and software platform developed by Google to help machine learning developers implement powerful, real-time artificial intelligence (AI) on edge devices.

The platform consists of a purpose-built system-on-a-chip (SoC) optimised for neural network processing and a set of tools and libraries that enable developers to build, train and run AI models on the Coral hardware.

What projects can be implemented with Google Coral?

Google Coral is a hardware and software platform designed for implementing real-time artificial intelligence (AI) on edge devices. The platform consists of a purpose-built system-on-a-chip (SoC) optimised for neural network processing and a set of tools and libraries that enable developers to build, train and run AI models on the Coral hardware.

These features enable developers to use Coral to create powerful AI models for a variety of applications running on edge devices. Some examples of applications that can be developed with Coral include:

- Face recognition and tracking

- Object recognition and tracking

- Image recognition and classification

- Speech and text processing

- Motion detection and tracking

- Environment recognition and processing

- Coral is also suitable for integrating AI into Internet of Things (IoT) devices, making it possible to integrate intelligent functions directly into the hardware of devices such as cameras, sensors, and actuators.

What is Google Coral compatible with?

Coral is compatible with a wide range of operating systems and development platforms, including:

- Linux operating systems such as Ubuntu and Raspbian.

- Google Cloud Platform

- TensorFlow, a popular open-source AI framework.

Coral is also compatible with various Edge devices, including Raspberry Pi, NVIDIA Jetson, and Google Edge TPU Dev. Board. However, it is important to note that compatibility can vary by device and operating system, and there may be limitations to using Coral with certain devices or operating systems.

To ensure that Coral can be used on your device and operating system, you should carefully read the Google Coral documentation and check the hardware and software requirements.

What do I need to consider when purchasing?

If you have decided to purchase Google Coral, there are some important things to consider ensuring you get the best solution for your needs and goals. Here are factors to consider:

1. Compatibility: make sure Coral is compatible with your operating system and Edge devices. Compatibility can vary by device and operating system, so it is important to carefully review hardware and software requirements.

2. Performance: consider the performance requirements of your application and ensure that Coral can deliver the performance you need.

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